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End of training

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README.md CHANGED
@@ -3,6 +3,9 @@ license: apache-2.0
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  base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: distilbert-finetuning
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  results: []
@@ -15,7 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8143
 
 
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  ## Model description
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@@ -45,13 +50,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.3746 | 1.0 | 53 | 0.8143 |
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- | 0.3103 | 2.0 | 106 | 0.8207 |
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- | 0.2205 | 3.0 | 159 | 0.8499 |
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- | 0.0624 | 4.0 | 212 | 0.9009 |
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- | 0.0873 | 5.0 | 265 | 1.1236 |
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  ### Framework versions
 
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  base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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  model-index:
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  - name: distilbert-finetuning
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  results: []
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8043
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+ - Accuracy: 0.7714
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+ - F1: 0.7862
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.4772 | 1.0 | 53 | 0.8100 | 0.7286 | 0.7326 |
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+ | 0.3519 | 2.0 | 106 | 0.8094 | 0.7143 | 0.7217 |
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+ | 0.2195 | 3.0 | 159 | 0.8540 | 0.7357 | 0.7442 |
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+ | 0.098 | 4.0 | 212 | 0.8043 | 0.7714 | 0.7862 |
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+ | 0.0839 | 5.0 | 265 | 0.9880 | 0.7786 | 0.7945 |
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  ### Framework versions
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